Data Science Intern

ShyftLabs

internship

Posted on: 10/16/2025

Location Type: Hybrid

Location: Toronto • 🇨🇦 Canada

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Entry Level

NumpyPandasPythonScikit-LearnSQL

About the role

Analyze large and complex datasets using SQL, Python, or R to uncover insights, identify trends, and support data-driven business and product decisions.
Conduct exploratory data analysis, build models, and run simulations to validate hypotheses and quantify potential outcomes.
Assist in designing and analyzing experiments to measure performance, determine causality, and generate actionable recommendations.
Partner with engineers, product managers, and other stakeholders to translate data findings into impactful strategies and solutions.
Communicate insights effectively through dashboards, reports, and visual presentations that enable clear understanding and decision-making.

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Strong analytical and problem-solving skills with a curious, data-driven mindset.
Solid understanding of statistics, hypothesis testing, and basic machine learning techniques (e.g., regression, classification, clustering).
Hands-on experience with Python (Pandas, NumPy, Scikit-learn) and/or R, plus familiarity with SQL for data manipulation and analysis.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Benefits

A 4 to 12 month internship providing hands-on experience in applied data science.
Mentorship from experienced data scientists and engineers.
Hybrid work model: 3 days per week in our downtown Toronto office.
Access to learning and development resources to support your professional growth.
A collaborative, inclusive, and innovation-driven culture that values curiosity and creativity.